Yes. Where it makes sense for the project, Keyhole’s legacy system modernization services incorporate AI-assisted tooling and emerging development workflows to accelerate complex migrations and modernization efforts.

Our consultants leverage a combination of leading AI platforms, generative AI models, and internally developed tools to support tasks such as code analysis, documentation generation, migration planning, and code transformation. In some engagements, this includes structured concurrent AI workflows, constraint-based prompting strategies, and retrieval-augmented architectures that allow engineers to work more efficiently while maintaining architectural control.

For example, in a recent proof of concept, Keyhole accelerated modernization efforts by 20–30% using AI-assisted automation to convert legacy COBOL batch jobs into modern Spring Batch applications.

By combining AI-assisted engineering techniques with senior architectural expertise, Keyhole helps organizations reduce manual effort, minimize errors, and accelerate delivery while maintaining the reliability and governance required for enterprise systems.

Keyhole actively evaluates emerging AI capabilities, including agentic AI workflows, but applies them within structured engineering and architectural guardrails.

Legacy systems often contain decades of embedded business rules, regulatory requirements, and tightly coupled dependencies. Our senior architects assess each environment before determining where AI acceleration is appropriate and where traditional engineering approaches are safer.

By combining AI-assisted development with architect-led governance, Keyhole helps organizations adopt new AI capabilities while aligning modernization efforts with each client’s risk profile, security requirements, and long-term architecture.

Timeline depends on system complexity, modernization approach, and how much of the process can be accelerated using AI-assisted workflows. A targeted replatforming or lift-and-shift effort typically completes in 3–6 months, while larger rearchitecture or full rebuild initiatives often span 12–24 months across phased releases.

AI can accelerate portions of code analysis, documentation, and transformation, but the level of acceleration depends on factors such as system complexity, regulatory requirements, and your organization’s comfort with AI-assisted development.

Keyhole works with your team to identify where acceleration is appropriate and where a more controlled approach is required, balancing speed with system stability, compliance, and long-term maintainability. Every engagement includes a detailed roadmap with milestone timelines based on that assessment.

We've delivered modernization engagements across financial services, insurance, healthcare, manufacturing, logistics, retail, agriculture, and government.

These industries share a common pattern: mission-critical systems built 10 to 20+ years ago on platforms like COBOL, IBM WebSphere, EJB, or early Java frameworks that now struggle with scalability, integration, and staffing challenges as the talent pool for those technologies shrinks. Regulated industries carry additional complexity because modernization plans need to account for compliance requirements, audit trails, and data governance throughout the transition.